def generate_TablePulseTemplates(self,number_of_entries,max_dist=RANGE):
while 1:
x = TablePulseTemplate()
name = "TablePulseTemplate_{}".format(self.__TablePulseTemplateOffset)
self.__TablePulseTemplateOffset +=1
if bool(random.getrandbits(1)):
x.identifier = name
previous_min = 0
previous_max = 0
parameter_names = []
for i in range(number_of_entries):
dict_ = {}
for j in ["time","voltage"]:
a = random.choice(["float","str","ParameterDeclaration"])
if a == "float":
if j == "time":
dict_[j] = random.uniform(previous_max,previous_max+max_dist)
previous_min = dict_[j]
previous_max = dict_[j]
else:
dict_[j] = random.uniform(-RANGE,RANGE)
elif a == "str":
dict_[j] = "_".join([name,"str",str(i),str(j)])
parameter_names.append(dict_[j])
elif a == "ParameterDeclaration":
if j == "time":
dict_[j] = self.generate_ParameterDeclaration(previous_min, previous_min+max_dist, name, previous_max).__next__()
previous_min = dict_[j].min_value
previous_max = dict_[j].max_value
else:
dict_[j] = self.generate_ParameterDeclaration().__next__()
parameter_names.append(dict_[j].name)
x.add_entry(time=dict_["time"],voltage=dict_["voltage"],interpolation=random.choice(INTERPOLATION_STRATEGIES))
yield x
def integrated_test_with_sequencer_and_pulse_templates(self) -> None:
# Setup test data
square = TablePulseTemplate()
square.add_entry('up', 'v', 'hold')
square.add_entry('down', 0, 'hold')
square.add_entry('length', 0)
mapping1 = {
'up': 'uptime',
'down': 'uptime + length',
'v': 'voltage',
'length': '0.5 * pulse_length'
}
outer_parameters = ['uptime', 'length', 'pulse_length', 'voltage']
parameters = {}
parameters['uptime'] = 5
parameters['length'] = 10
parameters['pulse_length'] = 100
parameters['voltage'] = 10
sequence = SequencePulseTemplate([(square, mapping1), (square, mapping1)], outer_parameters)
# run the sequencer and render the plot
sample_rate = 20
plotter = Plotter(sample_rate=sample_rate)
sequencer = Sequencer(plotter)
sequencer.push(sequence, parameters)
block = sequencer.build()
times, voltages = plotter.render(block)
# compute expected values
expected_times = numpy.linspace(0, 100, sample_rate)
expected_voltages = numpy.zeros_like(expected_times)
expected_voltages[100:300] = numpy.ones(200) * parameters['voltage']
# compare
self.assertEqual(expected_times, times)
self.assertEqual(expected_voltages, voltages)
# / |
# / |
# b |
# | |
# | |
# | |
# a--------| ------------------d
#
# Point: Tuple
# a: (0,0)
# b: ('t_up', 'value1')
# c: ('t_down', 'value2')
# d: ('end', 0)
# t_down should not be given by the user, instead give the time between c and b as 'length'
squarePulse = TablePulseTemplate() # Prepare new empty Pulse
# Then add pulses sequentially
squarePulse.add_entry('t_up', 'value1', interpolation='hold') # hold is the standard interpolation value
squarePulse.add_entry('t_down', 'value2', interpolation='linear')
squarePulse.add_entry('end', 0, interpolation='jump')
# We can just plug in values for the parameters to get an actual pulse:
parameters = {'t_up': 200,
't_down': 2000,
'end': 4000,
'value1': 2.2,
'value2': 3.0}
# with these parameters, we can plot the pulse:
plot(squarePulse, parameters)
